Deep, dense and accurate 3D face correspondence for generating population specific deformable models
© 2017 Elsevier Ltd We present a multilinear algorithm to automatically establish dense point-to-point correspondence over an arbitrarily large number of population specific 3D faces across identities, facial expressions and poses. The algorithm is initialized with a subset of anthropometric landma...
| Main Authors: | , , |
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| Format: | Journal Article |
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Elsevier
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/63382 |